Blog - overview#26
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story645
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I think it's mostly solid, like that it's very small but still illustrative. Only change I think it really needs is the tiny shared data so that the examples are runnable.
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| ## Altair | ||
| Altair uses a declarative grammar. As its [overview](https://altair-viz.github.io/getting_started/overview.html) states: |
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I think this needs slightly more context. Something like: Altair is a Python visualization library built on top of the Vega/Vegalite declarative grammar.
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| ## Altair | ||
| Altair uses a declarative grammar. As its [overview](https://altair-viz.github.io/getting_started/overview.html) states: | ||
| >The key idea is that you are declaring links between data columns and visual encoding channels, such as the x-axis, y-axis, color, etc.As the overview states, "the key idea is that you are declaring links between data columns and visual encoding channels, such as the x-axis, y-axis, color, etc." |
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There's some accidental repetition here
| ```python | ||
| alt.Chart(df) | ||
| ``` | ||
| Specify what type of glyph/mark should be used to represent your data: |
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Maybe glyph/marker to match matplotlib usage?
| ```python | ||
| mark_point() | ||
| ``` | ||
| Then, link your data columns with the encoding channels: |
| ## Matplotlib | ||
| Matplotlib is a powerful object-oriented procedural plotting library. Instead of linking data with encoding channels, Matplotlib uses an object-oriented interface to place objects on a canvas. | ||
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| The general thought process is to create a plot: |
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| ``` | ||
| ## Matplotlib | ||
| Matplotlib is a powerful object-oriented procedural plotting library. Instead of linking data with encoding channels, Matplotlib uses an object-oriented interface to place objects on a canvas. |
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I like this explaination lot! Thought maybe add a sentence/parenthetical on what a canvas is. Or add into the next sentence something like : the general process to create a plot is to first create a figure (canvas) and the subplots (objects containing the images). I'm not liking my explaination of subplots but think it needs something.
| ``` | ||
| Add a scatter plot to the axes object of this figure: | ||
| ```python | ||
| ax.scatter(x_array, y_array) |
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I think both the Altair and mpl examples should be runnable, so I think you should make a teensy dataframe at the top to use with both examples. Something like 'df = pd.DataFrame({'x':[1,2,3,4,5], 'y':[4,5,6,7,8])' You can add a throwaway sentence about how we have data we want to plot and python offers us all the options.
Still need to make example plots runnable.
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This is an overview of the different plotting styles between Altair and Matplotlib and a quick how to use mpl-altair.